316 results about "Health diagnosis" patented technology

A health monitoring system, and methods of use and manufacture thereof are disclosed. The health monitoring system may include a computing system and a diagnostic test coupled to a diaper. The diagnostic test may include one or more sensors configured to produce a visual indication of one or more analytes contained in a sample produced by a subject. The diagnostic test may include a machine-readable code. The computing system may be configured to read the machine-readable code to allow an application running on the computing system to automatically perform at least one task related to a production of a data point based on the visual indication. The health monitoring system may aid in identifying a potential abnormal health condition of the subject by providing automatic longitudinal analysis of analytes contained in samples produced by the subject over a period of time.

The invention discloses a wireless sensor network-based slope real-time security monitoring system and relates to the security monitoring field of geotechnical engineering. The system comprises a slope monitored area data acquisition layer, a data transmission layer and a remote security monitoring center, wherein the data acquisition layer comprises an information acquisition node, a routing node and a coordinator node; the data transmission layer is composed of a GPRS / CDMA data transmission device accessing the Internet, the observed data of all the sensor nodes are transmitted to a remote high-slope security monitoring center through the data transmission layer; and the remote security monitoring center is a Web back-stage management system which contains a treatment and display system for monitoring data, a remote operation system, an remote management system of the acquisition equipment, an early-warning and release system and a user management system. The system of the invention realizes complete digitization in intelligence sensing detection, transmission, reception and treatment, also realizes the real-time acquisition and secure transmission of slope data under harsh environment and provides reliable data for the health diagnosis of slope engineering, the establishment of early-warning standard and the control of landslide.

The invention discloses a method and a device of dynamically diagnosing hard disk failure based on S.M.A.R.T (Self-Monitoring Analysis and Reporting Technology) data and relates to the field of data storage security diagnosis. The method comprises the following steps: 101) establishing a cloud storage server side to continuously collect three types of data; 102) establishing a hard disk failure early-warning dynamic model; 103) establishing S.M.A.R.T parameter normal fluctuation curves and ranges; 104) obtaining a health diagnosis scoring dynamic model through big data analysis. The method and the device of dynamically diagnosing hard disk failure based on S.M.A.R.T data have the following beneficial effects: 1) the cloud storage server side is established to continuously collect data related to health of hard disks; 2) the collected data are organized to establish the hard disk failure early-warning dynamic model, the S.M.A.R.T parameter normal fluctuation curves and ranges and the health diagnosis scoring dynamic model; 3) the correctness of the model is continuously improved through machine learning in hard disk failure diagnosis.

The invention relates to a traditional Chinese medicine inheritance and big data mining-based dynamic health management system for a life cycle. The system comprises a client side, a server side and a data cloud platform; the client side and the server side are connected and interacted through a mobile communication network or wifi (wireless fidelity), and the data cloud platform and the server side are connected through Internet. According to the system disclosed by the invention, by adopting a method of quantitative and qualitative integration, all information is parameterized and put into a computer for deep learning so as to mine rules in the information, and find out rules of principles, methods, recipes, medicines, diseases, syndromes, symptoms and treatment of traditional Chinese medicine. Optimal configuration of medical resources is realized, and the problem of resource supply and demand information asymmetry among hospital levels is solved; the problem of information asymmetry between patients and doctors is solved; the problem of information asymmetry between health diagnosis and treatment instruments and nonprescription drugs and information asymmetry between health care products and customer demands is solved, therefore hidden cost is reduced.

A health diagnosis system comprises information input unit for receiving basic information and image information for user's body part; recognition unit for recognizing the body part as object by auto search based on image information received by input unit; analysis unit drawing diagnosis results by analyzing image information recognized by the said recognition unit according to checkup elements for each body part, comparing and analyzing the analyzed information and standard information recorded in pathological information database unit; pathological information database unit for storing standard information which can diagnose names and severities of diseases by checkup elements for each body part for the analysis unit to draw the diagnosis results by comparing and analyzing the analyzed information and the standard information; and diagnosis results database unit for recording the image information received by the information input unit for user's body parts and diagnosis results drawn by the said analysis unit.

The invention provides a harbor crane health monitoring and forecasting visualization system including a sensor subsystem, an information collection and transmission subsystem, a central server and a system client; the sensor subsystem is used for acquiring real-time operation parameters of a crane; the information collection and transmission subsystem is used for sending the real-time operation parameters of the crane to the central server through a wireless sending unit; the central server is used for storing and managing the real-time operation parameters of the crane, then performing health diagnosis on the crane to obtain a health condition diagnosis report, also forecasting whether the crane is failed or goes wrong according to the diagnosis result, and evaluating the operation safety of the crane to obtain a safety evaluation report; the system client is used for displaying the real-time operation parameters of the crane, the health condition diagnosis report and the safety evaluation report. The system can comprehensively, efficiently and real-timely monitor the harbor crane health condition, so as to ensure the safety operation of the harbor crane.

The invention discloses a car-mounted health diagnosis system which comprises a sensor information acquiring unit, a data uploading unit, an information processing unit and a car executing unit.The sensor information acquiring unit is used for collecting body condition information of a driver and transmitting signals to the data uploading unit.The data uploading unit is used for receiving the data information collected by the sensor information acquiring unit, uploading the data information to a cloud side health diagnosis platform and meanwhile receiving feedback information of the cloud side health diagnosis platform.The information processing unit is used for receiving the feedback information uploaded by the data uploading unit and outputting an executing command to the car executing unit.The car executing unit is used for warning the driver or the units involved in car driving behaviors.According to the car-mounted health diagnosis system, the health state of the driver can be monitored in real time, and gusty diseases can be known in time through monitoring.Therefore, a good safety guaranteeing function is achieved on environment driving with the poor body condition.

An automated system for managing inventories of medical supplies at medical offices is disclosed wherein a database and intelligent computer system is used to anticipate the need for supplies based on appointments with patients, for example, so that inventories are maintained at optimum levels without the need for individuals to guess at which supplies to order at which particular times and a computer method for inventory management and replenishment comprising storing records of items of supplies and durable medical equipment at each medical office, clinic, and hospital subscribing to a management system, storing patient records comprising prior treatments, health diagnoses, and health status, storing tables of treatment and diagnostic codes corresponding to supplies and / or durable medical equipment required for each of said codes, wherein upon entry by a medical office, clinic, or hospital of a treatment or diagnostic event for a patient using a treatment or diagnostic code, looking up the corresponding patient record to determine whether a redundancy event has occurred and if no redundancy event is determined, issuing an order for the corresponding supplies and / or equipment.

The invention relates to a group stage wind power generator set state monitoring and fault diagnosis platform, which is characterized in that a user of the platform comprises a wind field layer, a region layer and a group layer, the platform comprises a data collection processing module, a data storage and transmission module and a data analysis and application module, the collection modes of the data collection processing module comprise an off-line collection mode and an on-line collection mode, the data storage and transmission module is in charge of data storage and transmission, a data sparseness technology is used for reducing the data storage and transmission pressure, the data analysis and application module calls relevant data of the platform through a unified open interface, different APP (application) modules are used for analysis, and the equipment performance analysis, equipment health diagnosis, fault diagnosis and information issuing functions are realized. The group stage wind power generator set state monitoring and fault diagnosis platform has the advantages that the wind power state can be comprehensively and effectively evaluated, and the intelligent management of the three-level wind power generation projects including the wind power field, the region and the group is realized.

A method and a system for providing personal assistance in daily activities. A method and a system for actively and automatically providing personal assistance, using a robotic device / platform, based on detected data regarding a user and the user's environment. The method and system may include a processor, at least one sensor, an output device, a communications unit, and a database. The database may further include a memory and cloud-based database and computing. The method and system may provide assistance in jogging the memory of the user, parental control of a child, hazard detection, and various other circumstances. The method and system may actively and automatically provide personal assistance regarding health, exercise, diet, or nutrition. The method and system may assist the user or a health professional in health diagnosis and treatment.

The invention provides an intelligent-motor integrated-type multi-parameter fusion health diagnosis and early warning system and belongs to the intelligent on-line monitoring field of a motor. The system comprises a built-in rotating speed measurement unit, a temperature measurement unit, an electrical parameter measurement unit, an integrated-type intelligent operation monitoring early warning apparatus, an intelligent bearing monitoring early warning apparatus and an intelligent vibration monitoring early warning apparatus. The apparatuses can be installed when the motor is delivered and are integrated into one body with the motor. Multi-parameter, long-term, continuous, real-time and comprehensive operated large data acquisition and accumulation during a motor operation process are realized. Based on multi-parameter fusion, accurate identification determination and health diagnosis of a local motor work state are performed, and an early warning or alarm signal is timely emitted to portable equipment and a cloud server. The system possesses advantages that the structure is simple; later installation is not needed; usage is convenient; and cost is low and so on. And the system can be widely applied to health diagnosis and fault early warning of various kinds of motors.

The embodiment of the invention discloses a transformer state analysis and fault diagnosis method and system. The transformer state analysis and fault diagnosis method and system is applied to solving the technical problems that, in the prior art, transformer online monitoring can only provide sole one-dimensional data which cannot complete reflect transformer states, and state monitoring evaluation manners fail to provide reasonable set threshold values. The method comprises monitoring thermal, mechanical, chemical and electrical parameters of a transformer on line and in real time; acquiring key parameters of a power grid operation scenario where the transformer is positioned; through preset diagnosis algorithms, performing multi-dimensional information fusion and health diagnosis on the transformer; by combining information data obtained through the multi-dimensional information fusion and health diagnosis on the transformer with historical data, performing transformer state analysis; according to a result obtained through the transformer state analysis, monitoring whether transformer indexes are abnormal; if so, issuing a system alarm, and if not, continuing to perform real-time online monitoring on the transformer.

A vehicle diagnostic system and a method are provided. The vehicle diagnostic system includes a receiving / processing module, and a database. The receiving / processing module is adapted for receiving the information related to a status of vehicle components from an OBD-II interface connected thereto. The information is then analyzed by a processing logic, so as to generate a vehicle health diagnostic report with respect to the corresponding vehicle components. In the vehicle health diagnostic report including the one or more table, in addition to enumerating the operation status of the vehicle components as “Pass / Fail”, there is also shown a testing result of the vehicle components, and there are also provided additional information and suggestions related to the vehicle components. The processing logic is stored in receiving / processing module and / or in the database.

The invention discloses a numerical control system remote monitoring and debugging method based on a virtualization technology. The numerical control system remote monitoring and debugging method based on the virtualization technology comprises a virtual upper computer on a remote server, a local lower computer and a remote monitor terminal, wherein a remote monitoring and debugging module, a secure login authentication module and an intelligent diagnosis module are integrated on the virtual upper computer, the secure login authentication module is used in secure login authentication of the virtual upper computer, the remote monitoring and debugging module is used to display status data fed back to the virtual upper computer from the local lower computer through the remote monitor terminal after being verified, and simultaneously inputs the status data to the intelligent diagnosis module so as to perform fault early warning and / or health diagnosis on a machine tool, and a fault early warning or diagnosis result can be displayed on the corresponding monitor terminal. The numerical control system remote monitoring and debugging method based on the virtualization technology achieves remote monitoring and debugging for a numerical control system based on virtualization, improves intelligent level and reliability of numerical control machining, and reduces maintenance cost of a plant.

The invention discloses a cloud-edge cooperative amusement equipment fault prediction and health management system and method. The system comprises a distributed data acquisition system, edge computing equipment, a cloud computing platform and a management and control center. The data acquisition system distributed on the amusement equipment can acquire various heterogeneous state data including operation parameters, mechanical system parameters, hydraulic and pneumatic system parameters, electrical system parameters and the like in real time; and the edge computing equipment comprises an edgedata management functional module, a prediction service orchestrator functional module, an edge model training functional module, a fault early warning functional module and a communication service functional module, so the data caching capacity, the equipment health diagnosis capacity and the early warning capacity of an edge platform are achieved. The cloud computing platform comprises a data warehouse module, a model training module, a health management module and a communication service module, and achieves the data storage and model training capability of the cloud. The management and control center provides man-machine interaction, and is used for monitoring operation parameters and health conditions of the amusement equipment and receiving a fault prediction message.

The invention relates to the intelligent gas device control technology field and particularly relates to a whole life-cycle management model for intelligent gas device. The whole life-cycle management model for the intelligent gas device comprises an order module, a machine processing module, an assembling module, a quality inspection module, a factory leaving module and a monitoring system for monitoring products after leaving the factory. The whole life-cycle management model can visualize the production and management and operation of the gas products, benefits the perfection and monitoring of the product, realizes the positioning of the fault point, fully understand the operation cycle condition of the product, can specifically improve the product during the production process, provides the comprehensive data support to the tracking service and health diagnosis of the device, and can realize the full range tracking on the key part and the device. The data recording process is transformed from depending on manual collection management to automatic recording and filing by system and intelligent analysis. The invention realizes the transformation from the piled-up paper-made product file storage to big data storage which access to the Internet for sharing.

The invention discloses an aero-engine gas path component health diagnosis method based on particle filtering. The aero-engine gas path component health diagnosis method includes the steps that a nonlinear mathematical model of an engine is established; a particle filtering algorithm is designed based on significance weight value adjustment of a neural network; finally, a gas path component health diagnosis is achieved based on the nonlinear model of the engine by the adoption of the designed algorithm. The nonlinear mode is that on the basis of a physical equation reflecting the aerothermodynamics performance of the engine, a shared working equation set among the components is established, and by the adoption of a Newton Laphson interactive algorithm, the nonlinear equation set is solved to obtain working parameters of the cross section of the engine; the particle filtering algorithm based on the significance weight value adjustment of the neural network is that a BP neural network algorithm and a typical sampling algorithm are combined, on the basis of a standard particle filtering algorithm, two steps of weight value splitting and particle adjustment are added, and therefore the phenomena of particle degradation and sample depletion are effectively avoided. The health diagnosis of gradual performance degradation and sudden faults of the gas path components within the service life of the engine can be achieved.

The invention discloses an aircraft engine gas path fault fusion diagnosis method. The aircraft engine gas path fault fusion diagnosis method includes the steps that an engine state variable model is built firstly, sensor bias values (NL, NH, P3 and T6) obtained when an engine with a gas path fault is in a quasi-stable state in a flight envelope, then an optimal particle is obtained through a Kalman filter according to an electromagnetism-like mechanism method, and the sensor bias values (NL, NH, P3 and T6) of the engine with the gas path fault and gas path component health parameters are obtained finally. The aircraft engine gas path fault fusion diagnosis method breaks through limitation that a traditional gas path fault diagnosis method can only achieve single fault mode diagnosis, and can achieve health diagnosis of three broad categories of fault modes including the engine sensor fault, the gas path component fault and the sensor and gas path component simultaneous fault.

A health monitoring system, and methods of use and manufacture thereof are disclosed. The health monitoring system may include a computing system and a diagnostic test coupled to a diaper. The diagnostic test may include one or more sensors configured to produce a visual indication of one or more analytes contained in a sample produced by a subject. The diagnostic test may include a machine-readable code. The computing system may be configured to read the machine-readable code to allow an application running on the computing system to automatically perform at least one task related to a production of a data point based on the visual indication. The health monitoring system may aid in identifying a potential abnormal health condition of the subject by providing automatic longitudinal analysis of analytes contained in samples produced by the subject over a period of time.

The invention discloses a ZigBee wireless Ad Hoc network system and a method for monitoring security of a dam, and belongs to the field of security monitoring and structural health diagnosis of water conservancy projects. The system consists of a data acquisition layer, a data transmission layer and a monitoring centre, mainly comprises a dam acquisition sensor, an information acquisition node, a routing node and a coordinator node of ZigBee network, a wireless transmission structure and a remote security monitoring centre. In the method, the remote security monitoring centre issues various operation instructions to the field ZigBee node of the dam and receives information from the field wireless node; the field ZigBee node mainly acquires and wirelessly transmits the dam information, connects neighboring nodes to realize networking function and responds to the control instruction sent by the monitoring centre. By changing the conventional wired security monitoring technology and structural health diagnosis technology of wiring, the invention has the characteristics of low cost, low power consumption, modularization design, high level of integration and strong function expandability.

The invention provides an integral and local information fusing method of structure health diagnosis based on monitoring information of integral acceleration and local stress sensors, which comprises the steps of: arranging acceleration and stress sensors on a target structure and carrying out vibration test to obtain acceleration and stress stroke response, and recognizing modal parameters of the structure; establishing a finite element model of the structure; and preliminarily determining the damage range by adopting the modal stress energy indexes through an actually measured modal vibration shape. The invention integrates information of the integral acceleration sensor and the local stress sensor for structural health diagnosis, fully utilizes multi-sensor information in the structural health monitoring, a Bayesian probability theory is adopted, considers the uncertainty of actually measured information, and accords with the engineering actual characteristic. The invention can obtain accurate, reliable and stable damage diagnosis results and has stronger noise immunity and robustness.

The invention provides a cable joint health diagnosis and heat fault pre-warning system. The system comprises a measurement control module, a communication module, a display module, an alarming module, a temperature sensor, a humidity sensor, a gas sensor, a stress sensor, a hoop metal strap, an environmental temperature sensor, an environmental humidity sensor and a control center network server. The different sensors are combined for online monitoring of cable joints, and by a manner different from an existing manner of alarming after occurrence of faults, unhealthy statuses and operation environments of the cable joints are measured and analyzed, such as temperature, humidity, gas, smoke, expansion, breathability, environmental temperature, environmental humidity and the like, and consequently low cost is guaranteed while sensitivity and accuracy of the pre-warning system are greatly improved. Therefore, health diagnosis and heat fault pre-warning of the cable joints are realized to effectively take preventive measures, reliability in operation of the cable joints and even an electric power system is improved, cable joint fault treatment time is shortened, and economic loss caused by faults of the cable joints is greatly reduced.

The invention discloses an elevator health diagnosis method based on a bayesian network. Different samples of elevator failures are used for carrying out bayesian network structure and parameter learning, the Monte carlo reasoning mechanism is adopted to build a bayesian network elevator failure diagnosis model meeting the elevator running mechanism, and compared with other diagnosis methods for predication according to the characteristic states, the bayesian network elevator fault diagnosis model considers the restrictive relation between state variables of a complex system, the method is more scientific and strict, through existing data samples, it is verified that the method can achieve the higher predication rate, the elevator health diagnosis method based on the bayesian network is quite effective in elevator health diagnosis and predication aspects, and the wide application prospect is achieved.

The invention discloses a wearable intelligent insole with the health consultation function. The wearable intelligent insole with the health consultation function comprises an insole base layer, flexible pressure sensors, a control circuit, a signal transmission circuit and a power supply device, wherein the flexible pressure sensors, the control circuit, the signal transmission circuit and the power supply device are arranged in the insole base layer. The flexible pressure sensors are put on corresponding positions of a tiptoe, a first metatarsophalangeal joint, a fourth metatarsophalangeal joint and a heel respectively, the signal output ends of the flexible pressure sensors are connected with the input end of the control circuit, the output end of the control circuit is connected with the input end of the signal transmission circuit, and the power supply device is connected with the control circuit for supplying power to the flexible pressure sensors. A main chip of the control circuit is integrated with the multi-ary-and-multi-scale-symbolic-entropy data analysis method, and the movement condition, the gait characteristics and the healthy condition of the human body are analyzed according to multiple pressure signals of the foot sole. According to the wearable intelligent insole with the health consultation function, signals of the abnormal gait and the healthy normal gait can be analyzed, processed and identified, and limitation of small data points is met; meanwhile, the coupling relationship between pressure signals of different parts of the foot sole is achieved, the accuracy and the efficiency of gait identification are improved, and the human health is conveniently and remotely monitored.

The invention relates to a digital auxiliary means suitable for the scope of medical treatment and health, in particular to an improvement for health diagnosis and demonstration by using a 3D human model. The invention provides an autonomous human disease diagnosis model, an artificial intelligence physical examination method and system, and a health assessment ocular demonstration method. Based on intelligent equipment, a user autonomously uses the autonomous human disease diagnosis model, the artificial intelligence physical examination method and system, and the health assessment ocular demonstration method, the related disease and the probability value are analyzed and searched through any input physiological data of the human body, then the calculation result is more accurate and reasonable, meanwhile, the various data information and the digital 3D human model are subjected to data connection, the data are loaded on the corresponding part of the model, the various data are highlighted, mapped and demonstrated and are intuitively shown on data processing equipment, so that the difficult problems that the speciality of the medical field is too strong and the content is abstractand not intuitive are solved.

The invention discloses a numerical control machine tool operation state health diagnosis system and diagnosis method. The system comprises an edge data acquisition module, a cloud platform and a client, the cloud platform is connected with the edge data acquisition module and the client. The cloud platform comprises a predictive diagnosis module, an information management and storage module and an application server; and the predictive diagnosis module comprises a real-time diagnosis module, a post-processing diagnosis module and a comprehensive diagnosis module. According to the system, a cloud platform with a diagnosis function is used for replacing an upper computer, the expandability is greatly improved, the diagnosis and prediction tasks can be completed only by deploying corresponding sensors on the machine tool and connecting the sensors to the cloud platform, the real-time state data of the machine tool are managed in a centralized mode through the cloud platform, and the health condition of the machine tool is evaluated and predicted through the diagnosis technology based on the neural network. The diagnosis method is simpler, and the health diagnosis accuracy is high.

The invention provides an intelligent system for health diagnosis and treatment, which comprises a computer, an input device, an output device, a data acquisition device and a database, wherein the database is arranged in the computer; the data acquisition device is connected with the computer through the input device; the data acquisition device acquires meridian point electrical information, tongue shape images, shape signs, breath, touch and question-feedback information of diagnosed-treated objects; the computer is provided with a processing program run according to the principles and rules of Chinese medicine; and the processing program compares acquired information with corresponding information in the database, obtains the results of the status characteristics of the constitution ofhuman bodies, and outputs the results through the output device. The system solves the technical problem that the prior art is difficult to arrange, process and comprehensively analyze the relevant information of the human bodies in 'not sick', 'to be sick' and 'disease incubation period' stages.

The invention relates to an intelligent health diagnosis system, comprising a mirror and a cloud server, wherein the mirror comprises a mirror frame, a mirror face, a shooting module, a detection module and a control module; the mirror face is arranged in the mirror frame; the shooting module, the detection module and the control module are arranged in the mirror frame; the control module is connected with the shooting module and the detection module respectively; the cloud server is connected with the control module through a wireless network; and when the detection module detects a face in a valid area, the control module starts the shooting module, the shooting module shoots a face image and transmits the face image to the control module, the control module sends the face image to the cloud server through the wireless network, and the cloud server diagnoses the health of the face image. Compared with the prior art, the intelligent health diagnosis system has the advantages that health diagnosis is performed on a face when a person looks into the mirror, thereby informing the person of the own health state, giving specific health management suggestions, enhancing the cognition of human beings on own health and bringing convenience to diagnosis; and the system is low in cost.

The invention discloses an online health diagnosis and treatment method and system, and a client, and belongs to the field of mobile medical information platforms. The online health diagnosis and treatment method comprises the steps that a patient client and a doctor client perform inquiry communication through a management server; the patient client selects matching drug use information in a drug database range according to diagnosis and treatment information given by the doctor client; and the management server, the doctor client and / or a drug company client performs monitoring management on the drug use information of the patient client. Through an online medical kit as a link, a patient, a doctor and a drug company are effectively connected, so that registration before diagnosis, drug taking during diagnosis and management after diagnosis in online diagnosis and treatment of a user form complete treatment experience.